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Livestream: Step by Step: When and How to Use Stochastic Optimization

October 11, 2017 @ 8:30 pm - 9:30 pm

NOTE: Please sign-in at via the Livestream link below. Thank you! 

This presentation will build on what you already know about parameter optimization to dive deeper into the world of stochastic optimization. In particular, we’ll explore stochastic gradient descent, simulated annealing, and particle swarm optimization – cultivating intuition on how these algorithms work, when they can be applied, what their underlying topologies look like, and how you can get the best performance out of them. 

What to Know and Bring

If possible, bring models you’re working, so you can relate the content directly to what you’re building. I’ll be available afterwards (and by e-mail) to ensure you have what you need to implement the optimizers we discuss. Code examples will be presented in Python, but I’ll also provide libraries and resources in R. 

About the Speaker – Siobhán Cronin

Siobhán Cronin is a machine learning engineer and scientist with a passion for computational intelligence. 

She began her career in a neuroscience laboratory at Harvard Medical School, while moonlighting as a contemporary dancer. After several years of performing and NGO management, she returned to science to join the computational intelligence renaissance. She is currently building a predictive model for a transportation startup, collaborating on swarm intelligence optimization tools, co-producing a complexity modeling immersive study experience in partnership with Slow Research Lab in Amsterdam, and completing CS graduate coursework at Stanford. 

Siobhán has published research in Brain & Cognition, Neuroreport, and Model View Culture, and presented at the Conference on Complex Systems, Conference on Cognitive Neuroscience, AlterConf, PyLadies, and Temple University. She is a member of Bay Area Women in Machine Learning and Data Science and IEEE Computational Intelligence Society (CIS), and coordinates a monthly a machine learning working group in San Francisco (ML Study Hall). 

About Metis

Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. 

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

Learn more about us at https://thisismetis.com.

Sign up for Demystifying Data Science: A Free Online Conference: 

Join our Metis Community Slack channel! Apply here: https://bit.ly/metis-community-slack.

Metis Code of Conduct

Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

If you have any questions or you’re made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.


October 11, 2017
8:30 pm - 9:30 pm
Event Category:


Chicago, IL us


Metis: Chicago Data Science